Experimental design and delivery
Plan and execute experiments from setup to validated readout, including synthesis support and sample prep.
Doctoral Researcher | Chemistry & Biochemistry
Research scientist profile with strong chemistry and biochemistry execution.
I am a PhD candidate combining mechanistic biochemistry with practical chemistry workflows. I lead experimental work packages from design to readout and improve reproducibility through protocol standardization, structured documentation, and Python-based analysis.
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Open to new challenges in research, scientific operations, interdisciplinary project roles, and R&D.
Core strengths
Practical strengths I bring to chemistry and biochemistry teams.
Protein chemistry and enzymology
Develop protein and assay workflows and interpret results with a mechanism-driven perspective.
Reproducibility and team delivery
Strengthen reliability through documentation standards, structured reporting, and team coordination.
Selected experience
May 2023 – Present
Doctoral researcher, Chair of Biochemistry
- Lead interdisciplinary work packages across protein chemistry, enzymology, and synthesis support.
- Design construct-to-testing workflows for efficient plasmid variant screening.
- Refine assays with defined controls and structured decision criteria.
- Coordinate materials, inventory, and team dependencies to keep projects on track.
Aug 2021 – Jun 2022
Funding and project support
- Supported fundraising activities and partner communication.
- Coordinated documentation, meetings, and timelines across teams.
Nov 2018 – Jul 2020
Tutor roles in organic and experimental chemistry
- Delivered tutorials and coached problem-solving in organic chemistry.
- Supervised lab courses, troubleshooting, and feedback-driven learning.
Publications and conference contributions
Publications (2025)
- Distal peptide elongation by a protease-like ligase and two distinct carrier proteins (Chem) DOI
- Barlow Twins deep neural network for advanced 1D drug-target interaction prediction (Journal of Cheminformatics) DOI
- Generative deep learning pipeline yields potent Gram-negative antibiotics (JACS Au) DOI
Recent conferences
- 29th Enzyme Mechanisms Conference, San Diego (Jan 4–8, 2026) – Poster
- 63rd Doktorandenworkshop, Halle an der Saale (May 9, 2025) – Oral presentation
- Interact 2025, Munich (Apr 2–3, 2025) – Poster presentation